Skip to main content

Concept Similarity and Related Categories in SearchSleuth

  • Conference paper
Conceptual Structures: Knowledge Visualization and Reasoning (ICCS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5113))

Included in the following conference series:

Abstract

SearchSleuth is a program developed to experiment with the automated local analysis of Web search using formal concept analysis. SearchSleuth extends a standard search interface to include a conceptual neighborhood centered on a formal concept derived from the initial query. This neighborhood of the concept derived from the search terms is decorated with its upper and lower neighbors representing more general and specialized concepts respectively. In SearchSleuth, the notion of related categories – which are themselves formal concepts – is also introduced. This allows the retrieval focus to shift to a new formal concept called a sibling. This movement across the concept lattice needs to relate one formal concept to another in a principled way. This paper presents the issues concerning exploring and ordering the space of related categories.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Carpineto, C., Romano, G.: Exploiting the potential of concept lattices for information retrieval with credo. Journal of Universal Computer Science 10(8), 985–1013 (2004)

    Google Scholar 

  2. Koester, B.: FooCA - Web Information Retrieval with Formal Concept Analysis. Diploma, Technische Universität Dresden (2006)

    Google Scholar 

  3. Koester, B.: Conceptual knowledge processing with google. In: Contributions to ICFCA 2006, pp. 178–183 (2005)

    Google Scholar 

  4. Ducrou, J., Eklund, P.: Searchsleuth: the conceptual neighbourhood of an internet query. In: 5th International Conference on Concept Lattices and Their Applications (CLA 2007), pp. 249–260 (2007), http://www.CEUR-WS.Vol-331.Ducrou.pdf

  5. Kim, M., Compton, P.: Formal Concept Analysis for Domain-Specific Document Retrieval Systems. In: Australian Joint Conference on Artificial Intelligence, pp. 237–248 (2001)

    Google Scholar 

  6. Kim, M., Compton, P.: The perceived utility of standard ontologies in document management for specialized domains. International Journal of Human-Computer Studies 64(1), 15–26 (2006)

    Article  Google Scholar 

  7. Ducrou, J., Vormbrock, B., Eklund, P.: FCA-based Browsing and Searching of a Collection of Images. In: Schärfe, H., Hitzler, P., Øhrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, pp. 203–214. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  8. Ducrou, J., Eklund, P.: Faceted document navigation using conceptual structures. In: Hitzler, P., Schärf, H. (eds.) Conceptual Structures in Practice, pp. 251–278. CRC Press, Boca Raton (2008)

    Google Scholar 

  9. Ducrou, J., Eklund, P.: An intelligent user interface for browsing and search mpeg-7 images using concept lattices. International Journal of Foundations of Computer Science 19(2), 359–381 (2008)

    Article  Google Scholar 

  10. Lengnink, K.: Ahnlichkeit als Distanz in Begriffsverbänden. In: Stumme, G., Wille, R. (eds.) Begriffliche Wissensverarbeitung: Methoden und Anwendungen, pp. 57–71. Springer, Heidelberg (2001)

    Google Scholar 

  11. Saquer, J., Deogun, J.S.: Concept aproximations based on rough sets and similarity measures. Int. J. Appl. Math. Comput. Sci. 11, 655–674 (2001)

    MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Peter Eklund Ollivier Haemmerlé

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dau, F., Ducrou, J., Eklund, P. (2008). Concept Similarity and Related Categories in SearchSleuth. In: Eklund, P., Haemmerlé, O. (eds) Conceptual Structures: Knowledge Visualization and Reasoning. ICCS 2008. Lecture Notes in Computer Science(), vol 5113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70596-3_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-70596-3_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70595-6

  • Online ISBN: 978-3-540-70596-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics